A Novel Joint Rate Distortion Optimization Scheme for Intra Prediction Coding in H.264/AVC
Qingbo Wu, Jian Xiong, Bing Luo, Chao Huang, Linfeng Xu
Abstract
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Qingbo Wu, Jian Xiong, Bing Luo, Chao Huang, Linfeng Xu
Abstract
Open-access reader
In this paper, we propose a novel joint rate distortion optimization (JRDO) model for intra prediction coding. The spatial prediction dependency is exploited by modeling the distortion propagation with a linear fitting function. A novel JRDO based Lagrange multiplier (LM) is derived from this model. To adapt to different blocks' distortion propagation characteristics, we also introduce a generalized multiple Lagrange multiplier (MLM) framework where some candidate LMs are used in the RDO process. Experiment results show that our proposed JRDO-MLM scheme is superior to the H.264/AVC encoder.
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In this paper, we propose a novel joint rate distortion optimization (JRDO) model for intra prediction coding. The spatial prediction dependency is exploited by modeling the distortion propagation with a linear fitting function. A novel JRDO based Lagrange multiplier (LM) is derived from this model. To adapt to different blocks' distortion propagation characteristics, we also introduce a generalized multiple Lagrange multiplier (MLM) framework where some candidate LMs are used in the RDO process. Experiment results show that our proposed JRDO-MLM scheme is superior to the H.264/AVC encoder.
Key concepts: Lagrange multiplier, Computer science, Encoder, Rate–distortion optimization, Algorithm, Coding (social sciences), Rate distortion, Rate–distortion theory